DocumentCode :
2347985
Title :
Various Approaches to Minimise Noises in ECG Signal: A Survey
Author :
Singh, Balwinder ; Singh, Preeti ; Budhiraja, Sumit
Author_Institution :
UIET, Panjab Univ., Chandigarh, India
fYear :
2015
fDate :
21-22 Feb. 2015
Firstpage :
131
Lastpage :
137
Abstract :
ECG signal is time varying in nature which is most common source used for the diagnosis and analysis of heart diseases present in the patient. ECG is recorded by placing electrodes at specified positions of human body. During recording, ECG is contaminated with artifacts and noises which always degrade its quality, and makes accurate and automatic interpretation more difficult. Power line interference, baseline wanders and muscle tremors are mostly noticed artifacts or noises. So for accurate delineation of characteristics points of ECG, a good quality of ECG is necessary. This paper is presenting a survey on various methods developed for de-noising, delineation of characteristics points and classification of diseases along with their respective advantages and disadvantages.
Keywords :
biomedical electrodes; diseases; electrocardiography; medical signal processing; muscle; patient diagnosis; signal classification; signal denoising; ECG characteristic point delineation; ECG signal denoising; ECG signal noise minimisation; baseline wanders; disease classification; electrodes; heart disease analysis; heart disease diagnosis; muscle tremors; power line interference; Adaptive filters; Electrocardiography; Heart; Noise; Noise reduction; Wavelet transforms; ECG; EMD; classification; de-noising; delineation; filter techniques; wavelet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computing & Communication Technologies (ACCT), 2015 Fifth International Conference on
Conference_Location :
Haryana
Print_ISBN :
978-1-4799-8487-9
Type :
conf
DOI :
10.1109/ACCT.2015.87
Filename :
7079066
Link To Document :
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